Services
Four engagement tiers that take a team from scattered documents to a governed AI knowledge layer. Fixed ranges, clear deliverables, no per-seat lock-in.
Services & pricing
Start with a Health Check, or jump straight to the build. Every tier has clear deliverables and a price range we commit to in writing.
Audit + architecture roadmap.
€2,000–€5,000 flat fee
Custom vault, data migration, team training, SOPs.
€5,000–€15,000 flat fee
MCP-connected agents, custom workflows, governance gates.
€10,000–€30,000
Ongoing maintenance, pruning, tuning, priority support.
€1,500–€4,000/month
All prices are ranges, fixed in the proposal. No per-seat fees — the system is yours.
01
Two weeks, three workshops, one map. We audit every place knowledge lives today — wikis, drives, chat, inboxes — measure what the scatter costs you, and hand over a prioritized roadmap you can execute with or without us.
€2,000–€5,000 flat fee
Start here
02
We design the vault around how your team actually works, migrate Notion, Confluence, and Drive content without losing history, and train champions inside your team so adoption sticks long after we leave.
€5,000–€15,000 flat fee
Start here
03
This is where AI standardization actually happens: MCP-connected agents wired to your vault, with PII stripping, approval gates, and an audit trail. The governance layer that takes pilots into production.
€10,000–€30,000
Start here
04
Knowledge systems decay without a gardener. We prune stale notes, repair links, roll out new automations, and coach every new hire into the system — so the graph gets denser, not messier.
€1,500–€4,000/month
Start here
Agents at work
Concrete agent workflows we wire into your vault — each one runs on a schedule and hands its output to a human before anything is committed.
Every Friday night an agent reads the week of notes, decisions, and threads, and drafts a one-page digest for Monday.
Meeting transcripts are distilled into a linked decision log, so "why did we choose this?" is answerable in seconds.
Before a call, an agent compiles a briefing from public sources and past interactions into one linked note.
| syntax.media | Cloud wiki + AI add-ons | |
|---|---|---|
| Software | One-off build, no per-seat fees | Per-seat subscriptions that grow with headcount |
| Your data | Plain files on your machines | Vendor database, export at their mercy |
| AI | Models you choose, incl. local | Add-on pricing per user per month |
| Offline | Fully functional | Limited or none |
| Lock-in | None | Complete |
A 50-person team typically spends far more per year on cloud wiki seats and AI add-ons than a one-off local-first build — and still does not own its data.
What the research says
We built syntax.media on published evidence about why knowledge work leaks time and why AI pilots stall — not on vibes.
Only about 1 in 4 companies has moved even 40% of its AI pilots into production. The bottleneck is architecture and governance — not models.
Knowledge workers spend nearly a fifth of their working week searching for and gathering information.
Over 10,000 organizations already run Obsidian at work — including teams at Amazon, Meta, Shopify, the UK Government, and Capital One.
A 30-minute discovery call. No pitch — a live walkthrough of what your vault could look like, and an honest answer on whether you need one.